SW Lamberts
Impact in
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- Growth Hormone and Insulin-like Growth Factors
- Pituitary Gland Disorders and Treatments
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- Regulation of Appetite and Obesity
Papers in
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- Growth Hormone and Insulin-like Growth Factors 5
- Pituitary Gland Disorders and Treatments 4
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- Neuroendocrine Tumor Research Advances 7
- Co-authors
- Leo J. Hofland (10 shared papers)J. A. M. J. L. Janssen (5 shared papers)Romijn Ja (2 shared papers)Ezio Ghigo (2 shared papers)Johannes W. A. Smit (1 shared paper)AJ van der Lely (2 shared papers)DE Grobbee (2 shared papers)P Gersbach (2 shared papers)
- Journals
- European Journal of Endocrinology (18 papers)Blood (2 papers)Journal of Endocrinology (1 paper)
- Partner nations
- NetherlandsItalySwitzerland
In The Last Decade
SW Lamberts
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Endocrinology, Diabetes and Metabolism 478
- Endocrine and Autonomic Systems 173
- Neurology 130
- Epidemiology 269
- Physiology 170
Countries citing papers authored by SW Lamberts
This map shows the geographic impact of SW Lamberts's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by SW Lamberts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SW Lamberts more than expected).
Fields of papers citing papers by SW Lamberts
This network shows the impact of papers produced by SW Lamberts. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by SW Lamberts. The network helps show where SW Lamberts may publish in the future.
Co-authors
The 25 scholars most cited alongside SW Lamberts, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 127 | |
| 2 | 1993 | 103 | |
| 3 | 2001 | 97 | |
| 4 | 2002 | 81 | |
| 5 | 2002 | 79 | |
| 6 | 2003 | 78 | |
| 7 | 2003 | 71 | |
| 8 | 2002 | 61 | |
| 9 | 2000 | 54 | |
| 10 | 1998 | 52 | |
| 11 | 2004 | 50 | |
| 12 | 2003 | 49 | |
| 13 | 2000 | 44 | |
| 14 | 1999 | 39 | |
| 15 | 2000 | 36 | |
| 16 | 2000 | 29 | |
| 17 | 2000 | 28 | |
| 18 | 2000 | 24 | |
| 19 | 2000 | 22 | |
| 20 | 2003 | 7 |
About SW Lamberts
SW Lamberts is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Neurology, Molecular Biology and Atomic and Molecular Physics, and Optics, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (7 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Pituitary Gland Disorders and Treatments (4 papers), Myasthenia Gravis and Thymoma (4 papers), Receptor Mechanisms and Signaling (2 papers), Mechanical and Optical Resonators (2 papers), Lung Cancer Research Studies (1 paper) and Retinal Diseases and Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (478 citations), Endocrine and Autonomic Systems (173 citations), Neurology (130 citations), Epidemiology (269 citations) and Physiology (170 citations). SW Lamberts has collaborated with scholars based in Netherlands, Italy and Switzerland. Frequent co-authors include Leo J. Hofland, J. A. M. J. L. Janssen, Romijn Ja, Ezio Ghigo, Johannes W. A. Smit, AJ van der Lely, DE Grobbee, P Gersbach, Martin Bidlingmaier and Muller Af. Their work appears in journals such as European Journal of Endocrinology, Blood and Journal of Endocrinology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.